Karush-Kuhn-Tucker optimality conditions for a class of robust optimization problems with an interval-valued objective function

In this article, we study the nonlinear and nonsmooth interval-valued optimization problems in the face of data uncertainty, which are called interval-valued robust optimization problems (IVROPs). We introduce the concept of nondominated solutions for the IVROP. If the interval-valued objective func...

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Veröffentlicht in:Open mathematics (Warsaw, Poland) Poland), 2020-07, Vol.18 (1), p.781-793
Hauptverfasser: Zhao, Jing, Bin, Maojun
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Sprache:eng
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Zusammenfassung:In this article, we study the nonlinear and nonsmooth interval-valued optimization problems in the face of data uncertainty, which are called interval-valued robust optimization problems (IVROPs). We introduce the concept of nondominated solutions for the IVROP. If the interval-valued objective function and constraint functions are nonsmooth on Banach space , we establish a nonsmooth and robust Karush-Kuhn-Tucker optimality theorem.
ISSN:2391-5455
2391-5455
DOI:10.1515/math-2020-0042